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Jérémy Loranger Elite Prospects ↗

Position: Forward DOB: 2007-06-15 Country: Canada
2025 · Round 7, Pick #198  ·  Columbus Blue Jackets Columbus Blue Jackets
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2023-24 Dubuque Fighting Saints USHL 2 0 0 0 0.000 — — — —
2024-25 — BCHL 54 40 65 105 1.944 0.7492 0.8108 2.8297 3.0625
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Nebraska Omaha D1 NCHC — 28 7 12 19 0.679
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.81
before college
→
Actual FR PPG
0.68
2025-26 · Nebraska Omaha
-15.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

⭐ Elite profile — high probability of D1 placement; comparable to top-end prospects
42%
NCAA D1
0%
NCAA D2/D3
57%
Pro / Other

NCAAe Rankings

#2833
Forward overall
#9
Forward born in 2007

D1 Comparables

J.T. Compher
USHL · 2012-13 · 1.14 PPG
→ Michigan (0.89 D1 FR PPG)
0.70 Elite
NCAAe PPG
Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.66 Strong
NCAAe PPG
Jake Guentzel
USHL · 2012-13 · 1.22 PPG
→ Nebraska Omaha (0.92 D1 FR PPG)
0.73 Elite
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.68 Strong
NCAAe PPG
Seamus Malone
NTDP-U18 · 2012-13 · 1.00 PPG
→ Wisconsin (0.74 D1 FR PPG)
0.76 Strong
NCAAe PPG

D2/3 Comparables

Brandon Osmundson
Utica · 2016-17
1.448 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.